ARTICLE

An Up-to-Date List of Superpixel Algorithms

Recently, I started reviewing for different conferences and journals. Based on my previous work, specifically the Superpixel Benchmark, I mostly reviewed papers on superpixel algorithms. For most of these algorithms, and additional related work, I made notes; in this article I want to keep track of the algorithms and benchmarks. The goal is to have an up-to-date list of superpixel algorithms and their implementations.

Superpixel Algorithms

The below table is intended to be a comprehensive list of superpixel algorithms that have been introduced and used so far. This means that I am doing my best to regularly update this list; however, it is probably impossible to read every paper in every conference, journal or from ArXiv that proposes a new superpixel algorithm or introduced a novel variant of an existing one. Therefore, feel free to point me towards new papers.

This list is supposed to be as comprehensive as possible; however, feel free to point me to papers or implementations in the comments.

Benchmarks

There are some benchmarks considering a subset of the above algorithms — including my own Superpixel Benchmark. These papers are listed below; note that the above table of superpixel algorithms also indicates which algorithms are evaluated in the respective papers:

ABOUTTHEAUTHOR

In September, I was honored to receive the MINT-Award IT 2018, sponsored by ZF and audimax, for my master thesis on weakly-supervised shape completion. For CVPR 2019, however, I am working on a different topic: adversarial robustness and generalization of deep neural networks.
18thOCTOBER2018 , David Stutz

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